N. Armstrong Development of the youth athlete 2019 Routledge
N. Armstrong J. Welsman Clarity and confusion in the development of youth aerobic fitness Frontiers in Physiology 2019 10 979 10.3389/fphys.2019.00979 31417432 6682696
T. Bere J. Kruczynski N. Veintimilla et al. Injury risk is low among world-class volleyball players: 4‑year data from the FIVB injury surveillance system British Journal of Sports Medicine 2015 49 1132 1137 10.1136/bjsports-2015-094959 26194501
G. Beunen R.M. Malina Growth and physical performance relative to the timing of the adolescent spurt Exercise and Sport Sciences Reviews 1988 16 503 540 1:STN:280:DyaL1c3ntFGjtA%3D%3D 10.1249/00003677-198800160-00018 3292266
C. Bosco P. Luhtanen P.V. Komi A simple method for measurement of mechanical power in jumping Eur J Appl Physiol Occup Physiol 1983 50 273 282 1:STN:280:DyaL3s7jtFGntg%3D%3D 10.1007/BF00422166 6681758 https://www.ncbi.nlm.nih.gov/pubmed/6681758
P. Bürkner Brms: An r package for bayesian multilevel models using stan J Stat Softw 2017 80 1 28 10.18637/jss.v080.i01
A.V. Carron D.A. Bailey Strength development in boys from 10 through 16 years Monographs of the Society for Research in Child Development 1974 39 1 37 1:STN:280:DyaE2M3hs1WmtA%3D%3D 10.2307/1165931 4377166 https://www.ncbi.nlm.nih.gov/pubmed/4377166
H.M. Carvalho C.E. Gonçalves Mismatches in youth sports talent development Frontiers in Sports and Active Living 2023 5 1189355 10.3389/fspor.2023.1189355 37398556 10312081
H.M. Carvalho J.A. Lekue S.M. Gil et al. Pubertal development of body size and soccer-specific functional capacities in adolescent players Research in Sports Medicine 2017 25 421 436 10.1080/15438627.2017.1365301 28816503
H.M. Carvalho T.J. Leonardi A.L.A. Soares et al. Longitudinal changes of functional capacities among adolescent female basketball players Frontiers in Physiology 2019 10 339 10.3389/fphys.2019.00339 31019466 6459046
Stan Development Team (2020). Stan modeling language user’s guide and reference manual, version 2.19.2. Interaction Flow Modeling Language.
E. Dore R. Martin S. Ratel et al. Gender differences in peak muscle performance during growth Int J Sports Med 2005 26 274 280 1:STN:280:DC%2BD2M7mt12ntw%3D%3D 10.1055/s-2004-821001 15795811
M.J. Duncan L. Woodfield Y. al-Nakeeb Anthropometric and physiological characteristics of junior elite volleyball players British Journal of Sports Medicine 2006 40 649 651 1:STN:280:DC%2BD28zotVOmuw%3D%3D 10.1136/bjsm.2005.021998 16799112 2564319
T. Gabbett B. Georgieff Physiological and anthropometric characteristics of australian junior national, state, and novice volleyball players The Journal of Strength and Conditioning Research 2007 21 902 10.1519/R-20616.1 17685708
J. Gabry D. Simpson A. Vehtari et al. Visualization in bayesian workflow Journal of the Royal Statistical Society. Series A: Statistics in Society 2019 182 389 402 10.1111/rssa.12378
A. Gelman J. Hill Data analysis using regression and multilevel/hierarchical models 2007 Cambridge University Press https://www.cambridge.org/core/product/identifier/9780511790942/type/book
H. Goldstein Efficient statistical modelling of longitudinal data Ann Hum Biol 1986 13 129 141 1:STN:280:DyaL283htlOmsg%3D%3D 10.1080/03014468600008271 3707042
A. Hedrick Training for high-level performance in women’s collegiate volleyball: Part II: Training program Strength & Conditioning Journal 2008 30 12 21 10.1519/SSC.0b013e31816370b1
International Volleyball Federation (2023). FIVB world rankings. https://www.fivb.com/en/volleyball/rankings
M. Kay Tidybayes: tidy data and geoms for bayesian models Zenodo 2023 10.5281/zenodo.7933163
H.C.G. Kemper Longitudinal studies during growth and training: Importance and principles The young athlete 2007 469 485 10.1002/9780470696255.ch34
Kuczmarski, R. J., Ogden, C. L., Grummer-Strawn, L. M., et al. (2000). CDC growth charts: United states. https://www.ncbi.nlm.nih.gov/pubmed/11183293.
U. Künstlinger H. Ludwig J. Stegemann Metabolic changes during volleyball matches International Journal of Sports Medicine 1987 08 315 322 10.1055/s-2008-1025676
R. Lidor G. Ziv Physical and physiological attributes of female volleyball players-a review Journal of Strength and Conditioning Research 2010 24 1963 1973 10.1519/JSC.0b013e3181ddf835 20543736
R. McElreath Statistical rethinking: a Bayesian course with examples in r and stan 2020 2 Chapman; Hall/CRC Press 10.1201/9780429029608
R. McElreath J. Koster Using multilevel models to estimate variation in foraging returns Human Nature 2014 25 100 120 10.1007/s12110-014-9193-4 24522975
F.G. Mendes J.V. Nascimento E.R. Souza et al. Retrospective analysis of accumulated structured practice: a bayesian multilevel analysis of elite brazilian volleyball players High Ability Studies 2018 29 255 269 10.1080/13598139.2018.1507901
F.G. Mendes A.B. Lima M. Christofoletti et al. Multidimensional characteristics of young brazilian volleyball players: a bayesian multilevel analysis PLOS ONE 2021 16 e0250953 1:CAS:528:DC%2BB3MXhtVGgsr3E 10.1371/journal.pone.0250953 33930069 8087100
C. Mesquida J. Murphy D. Lakens et al. Replication concerns in sports and exercise science: a narrative review of selected methodological issues in the field Royal Society Open Science 2022 9 220946 10.1098/rsos.220946 36533197 9748505
P. Mikulic T. Blazina A.M. Nevill et al. Modeling longitudinal changes in maximal-intensity exercise performance in young male rowing athletes Pediatr Exerc Sci 2012 24 187 198 10.1123/pes.24.2.187 22728411
A.M. de Moraes R.T. Quinaud G.O.C. Ferreira et al. Age-, sex-, and maturity-associated variation in the phase angle after adjusting for size in adolescents Frontiers in Nutrition 2022 9 939714 10.3389/fnut.2022.939714 35978953 9376599
D. Mroczek A. Januszkiewicz A.S. KawczyŃski et al. Analysis of male volleyball players’ motor activities during a top level match Journal of Strength and Conditioning Research 2014 28 2297 2305 10.1519/JSC.0000000000000425 24552798
M. de Onis A.W. Onyango E. Borghi et al. Development of a WHO growth reference for school-aged children and adolescents Bull World Health Organ 2007 85 660 667 10.2471/blt.07.043497 18026621 2636412
R.M. Philippaerts R. Vaeyens M. Janssens et al. The relationship between peak height velocity and physical performance in youth soccer players J Sports Sci 2006 24 221 230 10.1080/02640410500189371 16368632
E.V. Praagh E. Dore Short-term muscle power during growth and maturation Sports Med 2002 32 701 728 10.2165/00007256-200232110-00003 12196031
R Core Team R: A language and environment for statistical computing 2018 R Foundation for Statistical Computing http://www.R-project.org/
J.M. Sheppard T.J. Gabbett S. L‑CR S An analysis of playing positions in elite men’s volleyball: considerations for competition demands and physiologic characteristics Journal of Strength and Conditioning Research 2009 23 1858 1866 10.1519/JSC.0b013e3181b45c6a 19675472
J.D. Singer J.B. Willett Applied longitudinal data analysis: modeling change and event occurrence 2003 Oxford University Press 10.1093/acprof:oso/9780195152968.001.0001 http://www.loc.gov/catdir/enhancements/fy0612/2002007055-d
A.L. Soares A.B. Lima C.G. Miguel et al. Does early specialization provide an advantage in physical fitness development in youth basketball? Frontiers in Sports and Active Living 2023 4 1042494 10.3389/fspor.2022.1042494 36704259 9872025
D.W. Spence J.G. Disch H.L. Fred et al. Descriptive profiles of highly skilled women volleyball players Medicine &>Science in Sports & Exercise 1980 12 299 302 1:STN:280:DyaL3M%2FivF2ntA%3D%3D
L. Sweeney J. Taylor Á. MacNamara Push and pull factors: Contextualising biological maturation and relative age in talent development systems Children 2023 10 130 10.3390/children10010130 36670680 9857589
J.M. Tanner R.H. Whitehouse M. Takaishi Standards from birth to maturity for height, weight, height velocity, and weight velocity: British children, 1965 Archives of Disease in Childhood 1966 41 613 635 1:STN:280:DyaF2s%2Flt1Gqug%3D%3D 10.1136/adc.41.220.613 5927918 2019692 https://www.ncbi.nlm.nih.gov/pubmed/5927918
A. Vehtari A. Gelman J. Gabry Practical bayesian model evaluation using leave-one-out cross-validation and WAIC Statistics and Computing 2017 27 1413 1432 10.1007/s11222-016-9696-4
A. Vehtari A. Gelman D. Simpson B. Carpenter P.-C. Bürkner Rank-Normalization, Folding, and Localization: An Improved ˆR for Assessing Convergence of MCMC (with Discussion) Bayesian Anal 2021 16 2 667 718 10.1214/20-BA1221
E.A.L.M. Verhagen A.J.V. Van der Beek L.M. Bouter et al. A one season prospective cohort study of volleyball injuries British Journal of Sports Medicine 2004 38 477 481 1:STN:280:DC%2BD2czntVCltg%3D%3D 10.1136/bjsm.2003.005785 15273190 1724865
J. Welsman N. Armstrong Interpreting aerobic fitness in youth: the fallacy of ratio scaling Pediatr Exerc Sci 2019 31 184 190 10.1123/pes.2018-0141 30332906
H. Wickham Ggplot2: Elegant Graphics for Data Analysis 2016 Springer 10.1007/978-3-319-24277-4 https://ggplot2.tidyverse.org